Mobile crowdsensing tasks allocation for mult-parameter bids
Anding Hu, Yonggen Gu · 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC) · 2017
Nowaday, mobile crowdsensing (MCS) is widely used in mobile devices, and one of the key challenges is how to motivate users to provide sensing services. In this paper, we explore the sensing task allocation in a MCS environment in which requester aims to maximize the valuation of tasks with limited budget. According to the multi-parameter bids of users including sensing costs and available time, we design our mechanism which consists of a sensing task allocation algorithm and a payment policy, and the truthfulness and individual rationality of our mechanism are proved. Finally, we demonstrate the efficiency and feasibility of our mechanism through extensive simulations.